Gesture is non-verbal way of communicating a specific message. Gesture recognition is a commuting user interface that allows computers to capture and interpret human commands and gestures. It refers to the ability of a computer to understand human gestures and execute commands based on gestures. Gesture recognition involves various methods such as facial recognition, voice recognition, IRIS recognition, eye movement, leg movement, and others. Gesture recognition is an alternative user interface to provide real-time data to the computer system. Gesture recognition technology is used in industries such as automotive, healthcare, gaming, consumer electronics, and others. Technological advancements in gesture recognition along with the need to deliver remote less gesture presentation in organizations is expected to provide lucrative opportunities for the growth of the global gesture recognition market.
The global gesture recognition market is expected to witness significant growth during the forecast period (2020–2027) due to increasing adoption of gesture recognition in consumer electronics such as smartphones, smart TV, set-top boxes, smart home, laptop, and others. Gesture recognition in smart TV enables users to control the functioning of their smart TV with fingers and hand gestures. The gesture recognition software is directly integrated with smart TVs, and the recognition software tries to match users' hand gestures to a predefined set of gestures. Moreover, gesture recognition technology in laptops and PCs is one of the major trending aspects of modern gadgets. Gesture recognition is one of the latest ways to provide inputs or control computer devices. For instance, in October 2017, Samsung, a Korean based electronics company, launched the Galaxy S4 smartphone with an air gesture feature that allows users to scroll and accept incoming calls without touching mobile devices. This gesture recognition technology enables the user to naturally interact with the computer and make computer viewing more realistic and interactive. However, high power consumption by gesture enables products is expected to hamper the growth of the global gesture recognition market
Gesture Recognition Market - Impact of Coronavirus (Covid-19) Pandemic
Due to the COVID-19 pandemic, several industries have witnessed a significant shift in their businesses. There has been a positive impact on the growth of the global gesture recognition market as aviation sector is moving towards biometric onboarding.
The implementation of new technology solutions such as facial recognition and biometric is already in progress at airport and after COVID-19 implementation of these technologies happening at faster pace. These new technologies will help to contain the spread of coronavirus and will also help in speeding up the onboarding process. For instance, in September 2020, Spirit Airlines, Inc., a U.S. based airline company launched the biometric facial recognition for passenger check-ins at Chicago O’Hare and New York LaGuardia airports.
North America is expected to hold dominant position in the global gesture recognition market during the forecast period
Statistics:
North America held dominant position in the global gesture recognition market in 2019, accounting for 43.2% share in terms of value, followed by Europe.
Figure 1: Global Gesture Recognition Market Share (%), By Region, 2019
North America is expected to account for the largest market share during the forecast period owing to the presence of key players in the region such as Microsoft, Google, Inc., Intel Corporation and others. Moreover, increasing adoption of gesture recognition in consumer electronics and gaming industry is also driving market growth. For instance, in January 2013, Apple Inc., a U.S. based technology company, acquired PrimeSense, an Israel-based 3D sensing company. Through this acquisition, PrimeSense technology powers gesture controls in Microsoft Corp’s Xbox Kinect gaming system.
Asia Pacific is expected to exhibit highest growth during the forecast period due to the growing smartphone penetration in the region and increasing usage of internet-connected devices. According to Coherent Market Insights, the penetration of smartphones in China increased from 41.3% of the total population in 2016 to 61.2% by 2020.
| Report Coverage | Details | ||
|---|---|---|---|
| Base Year: | 2019 | Market Size in 2019: | US$ 9.6 Bn |
| Historical Data for: | 2017 to 2019 | Forecast Period: | 2020 to 2027 |
| Forecast Period 2020 to 2027 CAGR: | 22.9% | 2027 Value Projection: | US$ 36.3 Bn |
| Geographies covered: |
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| Companies covered: |
Intel Corporation, Qualcomm Technologies, Inc., IBM Corporation, Google Inc., Microsoft, Facebook, Inc., Samsung Electronics Co., Ltd., Baidu Inc., Cisco Systems, Inc., Apple, Inc., Infineon Technologies AG, PointGrab Inc., Elliptic Laboratories A/S, Microchip Technology Inc., OmniVision Technologies, Inc., OMRON Corporation, Sony Corporation, Texas Instruments Incorporated, Sony Depthsensing Solutions, Jabil Inc., and Ultraleap. |
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Consumer Electronics segment is expected to drive the market growth during the forecast period
Among end-use industry, the consumer electronics segment is expected to hold dominant position in the global gesture recognition market owing to increasing digitization and adoption of gesture recognition technology. Several companies are also implementing this technology which helps users to interact with computers with ease and enhances human-machine interaction. This technology also helps physically disabled people to operate devices. Rising use of consumer electronics and IoT devices due to the growing need for comfort is also driving the market growth. In December 2014, Cognitec Systems GmbH, a Germany-based face recognition company, announced a partnership with Intel Corporation, a U.S. based multinational technology company, to apply face recognition in consumer electronics. This feature helps owners of laptop smartphones and tablets to protect their devices.
Figure 2: Global Gesture Recognition Market Value (US$ Bn) Analysis and Forecast, 2017 - 2027
The global gesture recognition market was valued at US$ 9.6 Bn in 2019 and is expected to reach US$ 36.3 Bn by 2027 at a CAGR of 22.9% between 2020 and 2027.
Major players operating in the global gesture recognition market include Intel Corporation, Qualcomm Technologies, Inc., IBM Corporation, Google Inc., Microsoft, Facebook, Inc., Samsung Electronics Co., Ltd., Baidu Inc, Cisco Systems, Inc., Apple, Inc., Infineon Technologies AG, PointGrab Inc., Elliptic Laboratories A/S, Microchip Technology Inc., OmniVision Technologies, Inc., OMRON Corporation,Sony Corporation, Texas Instruments Incorporated, Sony Depthsensing Solutions, Jabil Inc., and Ultraleap.
Gesture recognition is technology that understands human gestures and actions such as the movement of the finger, hand, head, arm, or the entire body. Gesture recognition technology allows users to operate and control devices with their gestures. For instance, users can move the cursor by pointing fingers at the screen. Gesture recognition uses different sensors such as infrared sensors, image sensors, and others to recognize and interact with devices. Gesture recognition technology is used in many industries such as automotive, retail, aerospace & defense, healthcare, and others. The increasing demand for touchless sensing technology in smartphones and touchless biometric solutions with upgraded tracking and monitoring functionalities is expected to create lucrative opportunities for the market growth.
Market Dynamics
The global gesture recognition market is expected to witness significant growth during the forecast period owing to adoption of AI-based gesture recognition in the retail sector. Through AI-based gesture recognition, retailers can check popularity of an item through consumer facial and hand gestures. Retailers can analyze how shoppers are reacting to different products in-store and can determine the potential of a product for sale. For instance, in March 2019, Amazon.com, Inc. launched an enhanced to face analysis feature of ReKognition (cloud-based software). Through these enhancements, retailers are able to detect the moods of customers. Furthermore, in July 2017, Walmart developed facial recognition technology to detect frustrated and unhappy shoppers. Through this technology, retailers can easily assess whether new items are working in a store or not and can predict the best place for products to position production for better results. By using AI-based gesture recognition technology, the retailer can use predictive data to determine consumer preference and shopping habits and display those items that customers are most likely to purchase.
Furthermore, many global players across different regions are focusing on developing new products with new features and technologies to remain competitive in the market. Industries are focusing on expanding their businesses by using various expansion strategies such as partnerships, collaborations, and mergers to cater to demand from end-users. For instance, in August 2017, Jabil Inc., a U.S. based manufacturing services company, announced a partnership with eyesight Technologies, an Israel-based company, that develops artificial intelligence technologies. Through this partnership, these companies have developed in-car sensing technology to detect the presence of drivers and improve human machine interface.
Key features of the study:
Detailed Segmentation
“*” marked represents similar segmentation in other categories in the respective section.
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